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ICANN ’93

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Table of Contents

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    Book Overview
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    Chapter 1 Dynamic Coupling in Cortical Neural Networks
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    Chapter 2 Keeping Neural Networks Simple
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    Chapter 3 The Autoassociative Hypothesis Places Constraints on Hippocampal Organization
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    Chapter 4 Metastability of Network Attractor and Dream Sleep
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    Chapter 5 Somatosensory Cortical Maps: Reorganization Following Post-Ontogenetic Plasticity — Experiments and Theory
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    Chapter 6 Adequate Input for Learning in Attractor Neural Networks
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    Chapter 7 Neurobiological Modelling and Structured Neural Networks
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    Chapter 8 Model Analysis of Associative Learning in The Photoreceptor of Marine Mollusc, Hermissenda Crassicornis
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    Chapter 9 A Neural Network Model for Motor Shapes Learning and Programming
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    Chapter 10 Learning Through Adaptive Value: A Model Working in a Variable Environment
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    Chapter 13 Detection of Coincidences and Generation of Hypotheses — a Proposal for an Elementary Cortical Function
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    Chapter 15 Adaptive Non-Uniform A/D Conversion Achieved with an Unsupervised Learning Rule Maximizing Information-Theoretic Entropy
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    Chapter 16 Optimal Topology-Preservation Using Self-Organising Logical Neural Networks
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    Chapter 17 Incorporation of Neurobiological Aspects of Aplysia’s Associative Conditioning in Neural Networks for on-line Pattern Detection
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    Chapter 18 Description on the Use of the Autogenerative Nodal Memory Model (ANM) as Controlling Element of an Autonomously Responsive System
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    Chapter 20 Neural Representation of Saccadic Eye Movements in Monkey Superior Colliculus
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    Chapter 21 A Self-organizing Neural Network for Learning A Body-centered Invariant Representation of 3-D Target Position
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    Chapter 22 Dynamic Field Approach to Target Selection in Gaze Control
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    Chapter 23 Differences in Synaptic Input and Excitability Between Superficial and Deep Pyramidal Cells in the Cat Sensorimotor Cortex
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    Chapter 25 A Neural Network Model for Spatial Information Representation
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    Chapter 26 A Dynamical Model for the Generation of Curved Trajectories
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    Chapter 28 Activation and Contraction of a Muscle
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    Chapter 29 Correlated Neuronal Activity and Behavior
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    Chapter 30 Map Structure from Pinwheel Position
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    Chapter 31 Emergence of Transient Oscillations in an Ensemble of Neurons
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    Chapter 32 A Distributed Multicolumnar System for Primary Cortical Analysis of Real-World Scenes
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    Chapter 34 A New Model for Spatial Frequency and Orientation Tuning in the Visual Cortex based on Delayed Inputs from the Retina
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    Chapter 36 Hidden Assembly Dynamics and Correlated Neuronal Responses
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    Chapter 37 A Model for Latencies in the Visual System
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    Chapter 39 Activity-Dependent Modification of Intrinsic Neuronal Properties
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    Chapter 40 Implications of Activity-Dependent Neurite Outgrowth for Developing Neural Networks
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    Chapter 41 PCA Properties of Interneurons
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    Chapter 44 A Computer Simulation Model of Backwards Feedback Across Synapse Via Arachidonic Acid
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    Chapter 46 Simulation Study on Calcium-Activated Dynamics of Compartment Dendrite Model
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    Chapter 47 On the Adapative Capabilities of Pulse-Coded Cable Neurons
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    Chapter 48 A Local Approximation of the Cable Equation for Implementing a Local Interaction Model
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    Chapter 49 Effects of Glutamate Uptake on the Response Dynamics of the Retinal Horizontal Cell
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    Chapter 50 Neural Networks for Robot Eye-Hand Coordination
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    Chapter 51 Unsupervised Formation of Feature Detectors Using Residual Inputs
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    Chapter 52 Geometry-Driven Diffusion: Coupled Diffusion Maps as a Model for Excitatory and Inhibitory Behaviour in Vision
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    Chapter 53 SPIN Learning and Forgetting Surface Classifications with Dynamic Neural Networks
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    Chapter 55 Stability and Convergence Control in Cooperative Integration Networks
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    Chapter 56 Towards a Neural Architecture for Unified Visual Contrast and Brightness Perception
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    Chapter 57 Fuzzy Kohonen Clustering Networks for Reducing Search Space in 3-D Object Recognition
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    Chapter 58 An Active Resistor Mesh Embedding Cortical Visual Processing
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    Chapter 59 A Fast BCS/FCS Algorithm for Image Segmentation
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    Chapter 60 Neural Architecture for Robot Planning
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    Chapter 61 From Situations to Actions: Motion Behavior Learning by Self-Organization
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    Chapter 62 Application of Q-Learning in Robot Grasping Tasks
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    Chapter 68 First Results on Stable Adaptive Robot Control with RBF Networks
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    Chapter 69 Fuzzy Inference, Radial Basis Functions, and Control of Flexible Robotic Manipulators
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    Chapter 70 A Recurrent Trajectory Storage Network with Parceling of the Workspace
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    Chapter 71 Node Allocation and Topographical Encoding NATEnet for Inverse Kinematics of a 6-DOF Robot Arm
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    Chapter 72 Learning Optimal Control Using Neural Networks
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    Chapter 73 A boolean net as an adaptive and universal robot control
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    Chapter 74 Transforming Occupancy Grids Under Robot Motion
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    Chapter 75 Complex Tasks and Robots
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    Chapter 77 Integration of Artificial Neural Networks and Dynamic Concepts to an Adaptive and Self-Organizing Agent
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    Chapter 78 Learning Fuzzy Production Rules For Approximate Reasoning In Connectionist Production Systems
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    Chapter 80 Spectral Timing and Integration of Multimodal Systemic Processes
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    Chapter 81 Net-to-Rule Transformation Using Penalty Functions
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    Chapter 83 Neural/Iconic Understanding of the Visual World
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    Chapter 85 Symbol-Manipulation with Attractor Neural Networks
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    Chapter 86 A Consideration on Visual Strategy of Fovea and Saccadic Movement from Experimental Results
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    Chapter 89 Activity Curvature: A new Approach to Perception
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    Chapter 90 An Outline for a Theory of the Emotions
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    Chapter 92 Continuous Speech Recognition Predictive Systems
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    Chapter 93 Handling Context-Dependencies in Speech by LVQ
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    Chapter 94 An Analytically Transparent Network for Sequence Recognition
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    Chapter 96 An Extended Kohonen Feature Map for Sentence Recognition
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    Chapter 97 Neural Nets that Discuss: A General Model of Communication Based on Self-Organizing Maps
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    Chapter 98 Neural Network and Nearest Neighbor Comparison of Speaker Normalization Methods for Vowel Recognition
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    Chapter 99 Speech Recognition by Hierarchical Segment Classification
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    Chapter 100 Visualization and Classification of Voice Quality with the Self-Organizing Map
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    Chapter 101 Weighted Distance Measure for Speaker-Independent Digit Recognition with Hidden-Control Neural Network
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    Chapter 102 Modulation-Frequency Encoding of Speech with Applications to Neural Speech Recognizers
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    Chapter 103 Functional Compositionality: a G.N.U. Approach
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    Chapter 104 Competitive Hebbian Learning Rule Forms Perfectly Topology Preserving Maps
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    Chapter 105 Approximating Optimal Information Transmission using Local Hebbian Algorithms in a Double Feedback Loop
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    Chapter 106 Time-Varying Neural Networks for Large Tasks
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    Chapter 107 A ‘Self-Referential’ Weight Matrix
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    Chapter 108 Neural Network Complexity Reduction Using Adaptive Polynomial Activation Functions
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    Chapter 109 FIELDNET, A Dynamic Network For Pattern Classification
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    Chapter 110 Reducing the Ratio Between Learning Complexity and Number of Time Varying Variables in Fully Recurrent Nets
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    Chapter 111 Deletion of Trained Patterns by Incremental Learning in Artificial Neural Network using Fahlman-Lebiere Learning Algorithm
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    Chapter 112 Cascade Neural Network Developed for Time Series Prediction
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    Chapter 114 Modified CMAC Neural Network Architectures for Nonlinear Dynamic System Modelling
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    Chapter 115 Preliminary Results on Adaptively Trained Neural Networks
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    Chapter 116 Networks for Learning and Differentiating an Input-Output Mapping
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    Chapter 117 Design vs. Training of Neural Machines
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    Chapter 118 Counterexample of Witsenhausen Under Set-Bounded Model of Uncertainty and its Neural Net Solver
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    Chapter 120 High-Order Boltzmann Machines for MAX-SAT and SAT
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    Chapter 121 EBP Algorithm Can Work with Hard Limiters
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    Chapter 122 Stochastic Neural Networks
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    Chapter 123 A Neurophysiologically Motivated Neural Network Model and its Application to the Superposition Problem
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    Chapter 124 A Symmetrical Lateral Inhibition Network for PCA and Feature Decorrelation
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    Chapter 126 Prove of Convergence of Extended Divide & Conquer Networks
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    Chapter 127 Monotonic Incrementation of Backpropagation Networks
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    Chapter 128 A Multi-Layer Extension of a Bayesian Neural Network
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    Chapter 129 YPROP: Yet Another Accelerating Technique for the Back Propagation
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    Chapter 130 Automatic Construction of Multilayer Networks for Non Linear Regression
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    Chapter 132 Supervised Learning for Decorrelated Gaussian Networks
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    Chapter 133 Associative Memories that can form Hypotheses: Phase coded Network Architectures
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    Chapter 134 A Formal Link between Multilayer Perceptrons and a Generalization of Linear Discriminant Analysis
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    Chapter 136 Defanet2 — Advancements of a Deterministic Function Approximator
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    Chapter 138 A Fuzzy Neural Architecture for Supervised Learning and Classification of Temporal Sequences
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    Chapter 139 Hierarchical Reinforcement Learning
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    Chapter 140 Connectivity Maximization of Layered Neural Networks for Supervised Learning
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    Chapter 141 The Overlapped Tessellation a Supervised Neural Rule
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    Chapter 142 IABP: Interval Arithmetic Backpropagation
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    Chapter 143 Architecture of Associative Memory with Reduced Cross Talk and Its Performance Formulation
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    Chapter 144 Augmentation of Generalisation in Probabilistic Logic Nets
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    Chapter 145 Fuzzy Expert Networks
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    Chapter 147 Brownian Motion Updating of Multi-layered Perceptrons
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    Chapter 148 Guaranteed Convergence of Learning in Neural Networks
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    Chapter 150 The Lower Bound of the Capacity for a Neural Network with Multiple Hidden Layers
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    Chapter 151 A method for finding the optimal number of learning samples and hidden units for function approximation with a feedforward network
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    Chapter 152 The N-2-N Encoder: A Matter of Representation
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    Chapter 155 Entropy of Perceptrons
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    Chapter 157 A Fast Training Algorithm for Feedforward Neural Networks
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    Chapter 158 Improvement of the Covergence of the Learning Using the Modified Back-propagation Method
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    Chapter 159 Parametrized Self-Organizing Maps
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    Chapter 160 Population Dynamics on the Basis of Vector Quantization: A Method for Auto-Association and Classification
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    Chapter 161 Vector Quantization with a Growing and Splitting Elastic Net
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    Chapter 162 Learning Topology-Preserving Maps Using Self-Supervised Backpropagation
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    Chapter 163 A Multiassociative Memory for Control
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    Chapter 164 Phase Transitions in Self-Organized Feature Maps
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    Chapter 165 Unsupervised Extraction of Predictable Abstract Features
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    Chapter 166 Genetic Algorithm with Migration on Topology Conserving Maps
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    Chapter 168 A Comparison Between Classical Unsupervised Classifiers and ART3 Neural Networks
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    Chapter 169 A Dynamic Procedure for Neural Network Design
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    Chapter 170 PCA in a Network with Full Lateral Connections
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    Chapter 172 SUSOM „SUpervised“ Self-Organizing Maps
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    Chapter 173 Synchrony in Integrate-and-Fire Networks
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    Chapter 175 Spikes or Rates? — Stationary, Oscillatory, and Spatio-temporal States in an Associative Network of Spiking Neurons
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    Chapter 176 Cooperative Stochastic Effects In Globally Coupled Bistable Elements
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    Chapter 177 Biologically Inspired Neural Network for Trajectory Formation and Obstacle Avoidance
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    Chapter 178 Catastrophic Phase Transitions in Exact ART Networks
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    Chapter 180 A Dynamically Generalising Weightless Neural Element
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    Chapter 181 Vector Quantization by Neuro-Dynamical System
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    Chapter 184 Hysteresis Phenomena and Bifurcation of Periodic Solutions in a Mathematical Model of Cortical Dynamics
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    Chapter 185 Computing Complexity of Symmetric Quadratic Neural Networks
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    Chapter 186 Topology Learning Solved by Extended Objects: A Neural Network Model
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    Chapter 189 Switching the Vector Field According to the Input of an Oscillatory Neural Network
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    Chapter 190 Processing of Information Encoded in Coupled One-Dimensional Maps
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    Chapter 191 Feedback in Single Continuous Neurons
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    Chapter 193 Chaos in Neural Networks at Nonlinear Synapses
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    Chapter 194 Stability Conditions for Nonlinear Continuous Random Neural Networks
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    Chapter 195 Optimal Classification with Multilayer Networks
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    Chapter 196 An Attractor Network Model for the Generation of Event-Related Potentials Using Integrative Synapses
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    Chapter 197 A Novel Liapunov Function for Additive Neural Networks
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    Chapter 198 Capacity and Error Correction Ability of Sparsely Encoded Associative Memory with Forgetting Process
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    Chapter 199 Defining the Attractor of a Recurrent Neural Network by Boolean Expressions
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    Chapter 200 Using Reduce for Replica Calculations
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    Chapter 201 Equilibrium Statistical Mechanics of Non-Symmetric Neural Networks
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    Chapter 203 Constraints on Learning in Dynamic Synapses
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    Chapter 204 Recursive Construction of Neural Networks with Long Periodic Behavior
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    Chapter 205 Phase-Space Gardening in the Binary-Couplings Memory Network
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    Chapter 206 The Relationship Between Choice Of Representation, Network Structure And Performance In Harmony Theory Networks
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    Chapter 208 Elimination of Overtraining by a Mutual Information Network
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    Chapter 210 Bounds on the Complexity of Testing and Loading Neurons
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    Chapter 211 Principal Hidden Unit Analysis with Minimum Entropy Method
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    Chapter 213 LS-Backpropagation Algorithm for Training Multilayer Perceptrons
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    Chapter 214 Do Backpropagation Trained Neural Networks have Normal Weight Distributions?
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    Chapter 215 A Constructive Algorithm for Binary Mapping
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    Chapter 216 BOXES Revisited
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    Chapter 217 Mathematical Properties Of Multi-Layer Adaptive Filters
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    Chapter 218 Weight Zero Enhancement In Speech Synthesis Using Neural Networks
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    Chapter 219 Biological Metaphors In Designing Modular Artificial Neural Networks
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    Chapter 220 Learning and Generalization Controlled by Contradiction
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    Chapter 221 Extraction of Symbolic Statements from Synaptic Weights
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    Chapter 222 A Novel Back Propagation Algorithm with Optimal Number of Hidden Units
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    Chapter 223 Two Neural Models for fast Category Learning — Neural Associative Memories and the Restricted Coulomb Energy Model
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    Chapter 224 Storage Capacity Results for Decomposed Structures of Generalizing RAM Nodes
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    Chapter 225 Novelty Detection and Neural Network Validation
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    Chapter 227 Hybrid Digital Signal Processing and Neural Networks for Automated Diagnostics Using Eddy Current Inspection
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    Chapter 229 Limitations of Adaptive Critic Control Schemes
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    Chapter 230 Periodic Disturbance Rejection: A Neural Network Approach
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    Chapter 231 Representation of Real-Valued Functions by a Three-Layered Artificial Neural Network with Topologically Ordered Input and Output Units
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    Chapter 232 Prediction of Reflectance Values: Towards the Integration of Neural and Conventional Colorimetry
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    Chapter 233 Neural Network Modeling and Prediction of Multivariate Time Series Using Predictive MDL Principle
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    Chapter 234 Dynamics of a Neural Network-based Financial Market
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    Chapter 235 Evolving Neuroeontrollers for Pole Balancing
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    Chapter 236 Backpropagation Vector Quantization for Satellite Coverage Plans Optimization
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    Chapter 237 Sequential Self-Organization for the Traveling Salesman Problem
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    Chapter 238 Invariant Process Control Using Neural Networks
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    Chapter 239 Optimal Control of Dynamic Systems Using Self-Organizing Maps
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    Chapter 240 Monitoring a Control System with a Hybrid Neural Network Architecture
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    Chapter 242 Modelling of Quality Properties in Paper Drying with Multilayer Perceptron Network
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    Chapter 243 Interpolation of Stationary Non-Linear Time Series by an Optimized Neural Network
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    Chapter 244 Two-Sensor Neural Network Modeling For Fault Detection
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    Chapter 245 Modelling The Fed Batch Fermentation Process Using Artificial Neural Networks
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    Chapter 246 Identification of Car Body Steel by an optical on line System and a Kohonen’s self-organizing Map
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    Chapter 247 Simulation of Pulsed Laser Material Processing Controlled by an Extended Self-Organizing Kohonen Feature Map
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    Chapter 249 Real-Time Nuclear Power Plant Monitoring with Adaptively Trained Neural Network
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    Chapter 250 Self Organized Feature Maps for Monitoring and Knowledge Aquisition of a Chemical Process
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    Chapter 252 Functional Electrical Stimulation with Neural Network Controlled State Feedback
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    Chapter 255 Neural Network Analysis of the Hungarian Party-State System
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    Chapter 256 Modelling Time-Varying Industrial Processes Using MLP Networks
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    Chapter 259 Building an Artificial Retina for Distance- and Orientation-Invariant Pattern Recognition
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    Chapter 260 MLP-RBF: A Cooperative Multi-Modular Neural Network Application in High-Energy Physics
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    Chapter 261 Operational Cloud Classifier Based on the Topological Feature Map
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    Chapter 262 Image Segmentation Using a Self-Organising Logical Neural Network
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    Chapter 264 Artificial Neural Networks Detect Subtle Differences Between Anesthetics
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    Chapter 265 Pattern Segmentation and Feature Linking as Simultaneous Processes in an Associative Network of Spiking Neurons
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    Chapter 266 Spatial Topology Distance for Handprinted Character Recognition
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    Chapter 267 Identification of Underwater Sonar Images Using Fuzzy-Neural Architecture FuNe I
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    Chapter 268 Fault Detection in Multivariate Time Series with a Coding Approach
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    Chapter 269 Practical Implementation of a Radial Basis Function Network for Handwritten Digit Recognition
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    Chapter 270 An Efficient Method of Neural Network Application to Recognizing of Handwritten Digits in Zip Codes
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    Chapter 271 The Application of Average Gradient Matrices for Fingerprint Classification using Neural Networks
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    Chapter 272 Neural Architectures for Motion Tracking
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    Chapter 273 A Multi-Agent Classifier Using Associative Networks in Parallel
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    Chapter 274 Handwritten Alphabet and Digit Character Recognition Using Skeleton Pattern Mapping with Structural Constraints
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    Chapter 276 Incremental Case-based Pattern Classifier
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    Chapter 277 Cepstral Blur Identification by Neural Network for Image Restoration Purpose
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    Chapter 278 Reduced Pattern Recognizing Neural Nets
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    Chapter 280 Detecting Abnormalities in MRI Images Using the Difference Method
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    Chapter 281 Neural Networks for the Echographic Diagnosis of Diffuse Liver Diseases
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    Chapter 282 Neural Networks and the Travelling Salesman Problem
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    Chapter 283 Automatically Structured Neural Networks For Handwritten Character And Word Recognition
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    Chapter 284 Tracking Rain Cells in Radar Images using Multilayer Neural Networks
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    Chapter 285 Neural Network Analysis of Plasma Spectra
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    Chapter 286 Monitoring EEG Signal with the Self-Organizing Map
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    Chapter 287 Invariant Pattern Recognition with Recovery of Transformation Parameters
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    Chapter 289 Performance of the Backpropagation Neural Network for Recognition of Radio Signals Using Time-Domain Features
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    Chapter 290 Conceptual Fuzzy Sets Application to Facial Expression Recognition using Associative Memory System
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    Chapter 291 Neocognitron with Non-uniform Receptive Fields
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    Chapter 292 Hand-Written Character Recognition by a Structured Self-Growing Neural Network “CombNET-II”
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    Chapter 293 Segmentation Of Image Sequences Using Self-Organising Feature Maps
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    Chapter 294 Combining Neural-Network and Statistical Methods in Seismic First-Arrival Picking
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    Chapter 295 A Study of Neural Network Input Data for Ground Cover Identification in Satellite Images
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    Chapter 296 On Generalization Ability of Cascaded Neural Net Architecture
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    Chapter 297 Assessing the Latency of Peak Pa in Auditory Evoked Potentials using Neural Networks
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    Chapter 298 A Self-organizing Network of Alterable Competitive Layer for Pattern Cluster
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    Chapter 300 Cognitive Grammar and Map Digitization
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    Chapter 302 Image Sequence Coding Using a Neural Vector Quantization
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    Chapter 303 Minimum Distance Pattern Classifiers Based On A New Distance Metric
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    Chapter 304 Knowledge Extraction by Self Organising Maps
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    Chapter 305 Application Of The Sensitivity Algorithm In Biological Fields
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    Chapter 306 Challenge of ANN to microelectronics
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    Chapter 307 Implementation of Million Connections Neural Hardware with URAN-I
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    Chapter 308 Multiprocessor and Memory Architecture of the Neurocomputer SYNAPSE-1
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    Chapter 309 COKOS: A COprocessor for KOhonen’s Selforganizing Map
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    Chapter 311 A Nonlinear Electronic Layer for Distributed Neural Nets
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    Chapter 312 How to Find a Near Optimal Mapping of Neural Networks onto Message Passing Multicomputers
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    Chapter 313 20 Million Patterns Per Second VLSI Neural Network Pattern Classifier
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    Chapter 314 High-Density Analog-EEPROM Based Neural Network
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    Chapter 315 A Simple Training Law Suitable for On-Chip Learning.
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    Chapter 316 Simulation of Neural Networks and Genetic Algorithms in a Distributed Computing Environment Using NeuroGraph
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    Chapter 317 A Parallel Implementation of the Back-Propagation of Errors Learning Algorithm on a SIMD Parallel Computer
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    Chapter 319 Mapping of Some Neural Network Algorithms to a General Purpose Parallel Neurocomputer
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    Chapter 321 A Generalized Recurrent Neural Network for Matrix Inversion
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    Chapter 322 On the Realization of Back-Propagation on a Transputer Based System
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    Chapter 324 NEUROCOBOL: A COBOL-like Neural Network Simulation Language Based on the Layer Macro Definition
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    Chapter 326 A Harmony Theory Network Solution To The N-Queens Problem
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Title
ICANN ’93
Published by
Springer, London, January 1993
DOI 10.1007/978-1-4471-2063-6
ISBNs
978-3-54-019839-0, 978-1-4471-2063-6
Editors

Stan Gielen, Bert Kappen

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 8%
Unknown 12 92%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 23%
Student > Doctoral Student 2 15%
Student > Master 2 15%
Student > Ph. D. Student 1 8%
Researcher 1 8%
Other 0 0%
Unknown 4 31%
Readers by discipline Count As %
Engineering 3 23%
Computer Science 3 23%
Agricultural and Biological Sciences 1 8%
Physics and Astronomy 1 8%
Business, Management and Accounting 1 8%
Other 0 0%
Unknown 4 31%